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A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation

  • Şafak TopçuEmail author
  • A. Şima Etaner-Uyar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 650)

Abstract

In this paper, we present a method to generate map sketches for strategy games using a state of the art many-objective evolutionary algorithm, namely NSGAIII. The map sketch generator proposed in this study outputs a three objective Pareto-front in which all the points are fair and strong in different aspects. The generated map sketch can be used by level designers to create real time strategy maps effectively and/or help them see multiple aspects of a game map simultaneously. The algorithm can also be utilised as a benchmark generator to be used in tests for various cases such as shortest path algorithms and strategy game bots. The results reported in this paper are very promising and promote further study.

Keywords

Procedural content generation Games Computational intelligence Map sketch generation Evolutionary multiobjective optimization NSGAIII 

References

  1. 1.
    Ashlock, D., Lee, C., McGuinness, C.: Search-based procedural generation of maze-like levels. IEEE Trans. Comput. Intell. AI Games 3(3), 260–273 (2011)CrossRefGoogle Scholar
  2. 2.
    Bjork, S., Holopainen, J.: Patterns in Game Design (Game Development Series). Charles River Media Inc., Rockland (2004)Google Scholar
  3. 3.
    Deb, K., Jain, H.: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints. IEEE Trans. Evol. Comput. 18(4), 577–601 (2014)CrossRefGoogle Scholar
  4. 4.
    Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)CrossRefGoogle Scholar
  5. 5.
    Fonseca, C.M., Paquete, L., Lopez-Ibanez, M.: An improved dimension-sweep algorithm for the hypervolume indicator. In: 2006 IEEE International Conference on Evolutionary Computation, pp. 1157–1163, July 2006Google Scholar
  6. 6.
    Jain, H., Deb, K.: An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, part II: handling constraints and extending to an adaptive approach. IEEE Trans. Evol. Comput. 18(4), 602–622 (2014)CrossRefGoogle Scholar
  7. 7.
    Liapis, A., Yannakakis, G.N., Togelius, J.: Generating map sketches for strategy games. In: Applications of Evolutionary Computation: 16th European Conference, EvoApplications 2013, Vienna, Austria, 3-5 April 2013, pp. 264–273. Springer, Heidelberg (2013)Google Scholar
  8. 8.
    Seada, H., Deb, K.: U-NSGA-III: a unified evolutionary optimization procedure for single, multiple, and many objectives: proof-of-principle results. In: Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO 2015, Guimarães, Portugal, 29 March–1 April 2015, Part II, pp. 34–49. Springer International Publishing, Cham (2015)Google Scholar
  9. 9.
    Togelius, J., Preuss, M., Beume, N., Wessing, S., Hagelbäck, J., Yannakakis, G.N.: Multiobjective exploration of the starcraft map space. In: Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, pp. 265–272, August 2010Google Scholar
  10. 10.
    Togelius, J., Yannakakis, G.N., Stanley, K.O., Browne, C.: Search-based procedural content generation: a taxonomy and survey. IEEE Trans. Comput. Intell. AI Games 3(3), 172–186 (2011)CrossRefGoogle Scholar
  11. 11.
    Togelius, J., Preuss, M., Beume, N., Wessing, S., Hagelbäck, J., Yannakakis, G.N., Grappiolo, C.: Controllable procedural map generation via multiobjective evolution. Genet. Program. Evolvable Mach. 14(2), 245–277 (2013). http://dx.doi.org/10.1007/s10710-012-9174-5
  12. 12.
    Togelius, J., Preuss, M., Yannakakis, G.N.: Towards multiobjective procedural map generation. In: Proceedings of the 2010 Workshop on Procedural Content Generation in Games, PCGames 2010, pp. 3:1–3:8. ACM, New York (2010). http://doi.acm.org/10.1145/1814256.1814259

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.MEF UniversityIstanbulTurkey
  2. 2.Istanbul Technical UniversityIstanbulTurkey
  3. 3.Graduate School of Science Engineering and TechnologyIstanbul Technical UniversityIstanbulTurkey

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